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Modelling and estimation of nonlinear quantile regression with clustered data

In regression applications, the presence of nonlinearity and correlation among observations offer computational challenges not only in traditional settings such as least squares regression, but also (and especially) when the objective function is nonsmooth as in the case of quantile regression. Meth...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Comput Stat Data Anal
Glavni avtor: Geraci, Marco
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6663105/
https://ncbi.nlm.nih.gov/pubmed/31359897
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2018.12.005
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